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ORCIDSuleyman Serdar Kozat
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- affiliation: Koç University, Istanbul, Turkey
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2020 – today
- 2023
[j75]Selim Firat Yilmaz
, E. Batuhan Kaynak, Aykut Koç, Hamdi Dibeklioglu, Suleyman Serdar Kozat:
Multi-Label Sentiment Analysis on 100 Languages With Dynamic Weighting for Label Imbalance. IEEE Trans. Neural Networks Learn. Syst. 34(1): 331-343 (2023)- 2022
- [j74]Mustafa E. Aydin, Suleyman Serdar Kozat:
A hybrid framework for sequential data prediction with end-to-end optimization. Digit. Signal Process. 129: 103687 (2022) - [j73]Arda Fazla, Mustafa E. Aydin, Suleyman Serdar Kozat:
Joint optimization of linear and nonlinear models for sequential regression. Digit. Signal Process. 132: 103802 (2022) - [j72]Nuri Mert Vural, Fatih Ilhan, Selim Firat Yilmaz, Salih Ergüt, Suleyman Serdar Kozat:
Achieving Online Regression Performance of LSTMs With Simple RNNs. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7632-7643 (2022) - [i49]Mustafa E. Aydin, Suleyman Serdar Kozat:
A Hybrid Framework for Sequential Data Prediction with End-to-End Optimization. CoRR abs/2203.13787 (2022) - [i48]Hakan Gökcesu, Suleyman Serdar Kozat:
Optimal Tracking in Prediction with Expert Advice. CoRR abs/2208.03708 (2022) - [i47]Arda Fazla, Mustafa Enes Aydin, Orhun Tamyigit, Suleyman Serdar Kozat:
Context-Aware Ensemble Learning for Time Series. CoRR abs/2211.16884 (2022) - 2021
- [j71]Mine Kerpicci, Huseyin Ozkan, Suleyman Serdar Kozat:
Online Anomaly Detection With Bandwidth Optimized Hierarchical Kernel Density Estimators. IEEE Trans. Neural Networks Learn. Syst. 32(9): 4253-4266 (2021) - [j70]Nuri Mert Vural, Salih Ergüt, Suleyman Serdar Kozat:
An Efficient and Effective Second-Order Training Algorithm for LSTM-Based Adaptive Learning. IEEE Trans. Signal Process. 69: 2541-2554 (2021) - [i46]Selim Furkan Tekin, Oguzhan Karaahmetoglu, Fatih Ilhan, Ismail Balaban, Suleyman Serdar Kozat:
Spatio-temporal Weather Forecasting and Attention Mechanism on Convolutional LSTMs. CoRR abs/2102.00696 (2021) - [i45]Selim Furkan Tekin, Suleyman Serdar Kozat:
Crime Prediction with Graph Neural Networks and Multivariate Normal Distributions. CoRR abs/2111.14733 (2021) - 2020
- [j69]Tolga Ergen, Suleyman Serdar Kozat:
A novel distributed anomaly detection algorithm based on support vector machines. Digit. Signal Process. 99: 102657 (2020) - [j68]Ali H. Mirza, Mine Kerpicci, Suleyman Serdar Kozat:
Efficient online learning with improved LSTM neural networks. Digit. Signal Process. 102: 102742 (2020) - [j67]Tolga Ergen, Ali H. Mirza, Suleyman Serdar Kozat:
Energy-Efficient LSTM Networks for Online Learning. IEEE Trans. Neural Networks Learn. Syst. 31(8): 3114-3126 (2020) - [j66]Tolga Ergen, Suleyman Serdar Kozat:
Unsupervised Anomaly Detection With LSTM Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 31(8): 3127-3141 (2020) - [j65]Fatih Ilhan, Suleyman Serdar Kozat:
Modeling of Spatio-Temporal Hawkes Processes With Randomized Kernels. IEEE Trans. Signal Process. 68: 4946-4958 (2020) - [c75]Fatih Ilhan, Nuri Mert Vural, Suleyman Serdar Kozat:
LSTM-Based Online Learning with Extended Kalman Filter Based Training Algorithm. SIU 2020: 1-4 - [c74]Nuri Mert Vural, Burak Altas, Fatih Ilhan, Suleyman Serdar Kozat:
Online Shortest Path Learning via Convex Optimization. SIU 2020: 1-5 - [c73]Nuri Mert Vural, Burak Altas, Fatih Ilhan, Suleyman Serdar Kozat:
Shortest Path Learning in Non-Stationary Enviroments via Online Convex Optimization. SIU 2020: 1-5 - [c72]Selim Firat Yilmaz, Ismail Balaban, Suleyman Serdar Kozat:
Improved Named Entity Recognition in Turkish News via Word Lookup Methods. SIU 2020: 1-4 - [i44]Nuri Mert Vural, Selim Firat Yilmaz, Fatih Ilhan, Suleyman Serdar Kozat:
RNN-based Online Learning: An Efficient First-Order Optimization Algorithm with a Convergence Guarantee. CoRR abs/2003.03601 (2020) - [i43]Oguzhan Karaahmetoglu, Suleyman Serdar Kozat:
Prediction with Spatio-temporal Point Processes with Self Organizing Decision Trees. CoRR abs/2003.03657 (2020) - [i42]Fatih Ilhan, Suleyman Serdar Kozat:
Modeling of Spatio-Temporal Hawkes Processes with Randomized Kernels. CoRR abs/2003.03671 (2020) - [i41]Selim Firat Yilmaz, Suleyman Serdar Kozat:
Unsupervised Anomaly Detection via Deep Metric Learning with End-to-End Optimization. CoRR abs/2005.05865 (2020) - [i40]Nuri Mert Vural, Fatih Ilhan, Selim Firat Yilmaz, Suleyman Serdar Kozat:
Achieving Online Regression Performance of LSTMs with Simple RNNs. CoRR abs/2005.08948 (2020) - [i39]Safa Onur Sahin, Suleyman Serdar Kozat:
A Tree Architecture of LSTM Networks for Sequential Regression with Missing Data. CoRR abs/2005.11353 (2020) - [i38]Oguzhan Karaahmetoglu, Fatih Ilhan, Ismail Balaban, Suleyman Serdar Kozat:
Unsupervised Online Anomaly Detection On Irregularly Sampled Or Missing Valued Time-Series Data Using LSTM Networks. CoRR abs/2005.12005 (2020) - [i37]Fatih Ilhan, Oguzhan Karaahmetoglu, Ismail Balaban, Suleyman Serdar Kozat:
Markovian RNN: An Adaptive Time Series Prediction Network with HMM-based Switching for Nonstationary Environments. CoRR abs/2006.10119 (2020) - [i36]Oguzhan Karaahmetoglu, Suleyman Serdar Kozat:
Spatio-temporal Sequence Prediction with Point Processes and Self-organizing Decision Trees. CoRR abs/2006.14426 (2020) - [i35]Selim Firat Yilmaz, E. Batuhan Kaynak, Aykut Koç, Hamdi Dibeklioglu, Suleyman Serdar Kozat:
Multi-Label Sentiment Analysis on 100 Languages with Dynamic Weighting for Label Imbalance. CoRR abs/2008.11573 (2020) - [i34]Selim Firat Yilmaz, Suleyman Serdar Kozat:
PySAD: A Streaming Anomaly Detection Framework in Python. CoRR abs/2009.02572 (2020)
2010 – 2019
- 2019
- [j64]N. Denizcan Vanli, Muhammed O. Sayin, Mohammadreza Mohaghegh Neyshabouri, Huseyin Ozkan, Suleyman Serdar Kozat:
Nonlinear regression via incremental decision trees. Pattern Recognit. 86: 1-13 (2019) - [j63]Osman Fatih Kiliç, Tolga Ergen, Muhammed O. Sayin, Suleyman Serdar Kozat:
Team-optimal online estimation of dynamic parameters over distributed tree networks. Signal Process. 154: 148-158 (2019) - [j62]Mohammadreza Mohaghegh Neyshabouri, Kaan Gökcesu, Hakan Gökcesu, Huseyin Ozkan, Suleyman Serdar Kozat:
Asymptotically Optimal Contextual Bandit Algorithm Using Hierarchical Structures. IEEE Trans. Neural Networks Learn. Syst. 30(3): 923-937 (2019) - [j61]Safa Onur Sahin, Suleyman Serdar Kozat:
Nonuniformly Sampled Data Processing Using LSTM Networks. IEEE Trans. Neural Networks Learn. Syst. 30(5): 1452-1461 (2019) - [j60]Kaan Gökcesu, Mohammadreza Mohaghegh Neyshabouri, Hakan Gökcesu, Suleyman Serdar Kozat:
Sequential Outlier Detection Based on Incremental Decision Trees. IEEE Trans. Signal Process. 67(4): 993-1005 (2019) - [j59]Nuri Mert Vural, Hakan Gökcesu, Kaan Gökcesu, Suleyman Serdar Kozat:
Minimax Optimal Algorithms for Adversarial Bandit Problem With Multiple Plays. IEEE Trans. Signal Process. 67(16): 4383-4398 (2019) - [c71]Mine Kerpicci, Suleyman Serdar Kozat, Huseyin Ozkan:
Sequential Anomaly Detection Using Nonparametric Density Estimators. SIU 2019: 1-4 - [i33]Hakan Gökcesu, Suleyman Serdar Kozat:
Minimax Optimal Online Stochastic Learning for Sequences of Convex Functions under Sub-Gradient Observation Failures. CoRR abs/1904.09369 (2019) - [i32]Hakan Gökcesu, Suleyman Serdar Kozat:
Efficient Online Convex Optimization with Adaptively Minimax Optimal Dynamic Regret. CoRR abs/1907.00497 (2019) - [i31]Nuri Mert Vural, Suleyman Serdar Kozat:
An Efficient EKF Based Algorithm For LSTM-Based Online Learning. CoRR abs/1910.09857 (2019) - [i30]Nuri Mert Vural, Hakan Gökcesu, Kaan Gökcesu, Suleyman Serdar Kozat:
Minimax Optimal Algorithms for Adversarial Bandit Problem with Multiple Plays. CoRR abs/1911.11122 (2019) - 2018
- [j58]Dariush Kari, Ali H. Mirza, Farhan Khan, Huseyin Ozkan, Suleyman Serdar Kozat:
Boosted adaptive filters. Digit. Signal Process. 81: 61-78 (2018) - [j57]Tolga Ergen, Suleyman Serdar Kozat:
Efficient Online Learning Algorithms Based on LSTM Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3772-3783 (2018) - [j56]Kaan Gökcesu, Suleyman Serdar Kozat:
Online Density Estimation of Nonstationary Sources Using Exponential Family of Distributions. IEEE Trans. Neural Networks Learn. Syst. 29(9): 4473-4478 (2018) - [j55]Tolga Ergen, Suleyman Serdar Kozat:
Online Training of LSTM Networks in Distributed Systems for Variable Length Data Sequences. IEEE Trans. Neural Networks Learn. Syst. 29(10): 5159-5165 (2018) - [j54]Kaan Gökcesu, Suleyman Serdar Kozat:
An Online Minimax Optimal Algorithm for Adversarial Multiarmed Bandit Problem. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5565-5580 (2018) - [j53]Kaan Gökcesu, Suleyman Serdar Kozat:
Online Anomaly Detection With Minimax Optimal Density Estimation in Nonstationary Environments. IEEE Trans. Signal Process. 66(5): 1213-1227 (2018) - [j52]Huseyin Ozkan, Fatih Ozkan, Ibrahim Delibalta, Suleyman Serdar Kozat:
Efficient NP Tests for Anomaly Detection Over Birth-Death Type DTMCs. J. Signal Process. Syst. 90(2): 175-184 (2018) - [c70]Tolga Ergen, Safa Onur Sahin, Suleyman Serdar Kozat:
Recurrent neural networks based online learning algorithms for distributed systems. SIU 2018: 1-4 - [i29]Mohammadreza Mohaghegh Neyshabouri, Suleyman Serdar Kozat:
Sequential Outlier Detection based on Incremental Decision Trees. CoRR abs/1803.03674 (2018) - 2017
- [j51]Muhammed O. Sayin, Suleyman Serdar Kozat, Tamer Basar:
Team-optimal distributed MMSE estimation in general and tree networks. Digit. Signal Process. 64: 83-95 (2017) - [j50]Dariush Kari, Iman Marivani, Farhan Khan, Muhammed Omer Sayin, Suleyman Serdar Kozat:
Robust adaptive algorithms for underwater acoustic channel estimation and their performance analysis. Digit. Signal Process. 68: 57-68 (2017) - [j49]Ihsan Utlu, Osman Fatih Kiliç, Suleyman Serdar Kozat:
Resource-aware event triggered distributed estimation over adaptive networks. Digit. Signal Process. 68: 127-137 (2017) - [j48]Ibrahim Delibalta, Lemi Baruh, Suleyman Serdar Kozat:
An Online Causal Inference Framework for Modeling and Designing Systems Involving User Preferences: A State-Space Approach. J. Electr. Comput. Eng. 2017: 1048385:1-1048385:11 (2017) - [j47]Dariush Kari, Nuri Denizcan Vanli, Suleyman Serdar Kozat:
Adaptive and efficient nonlinear channel equalization for underwater acoustic communication. Phys. Commun. 24: 83-93 (2017) - [j46]Burak C. Civek, Ibrahim Delibalta, Suleyman Serdar Kozat:
Highly efficient hierarchical online nonlinear regression using second order methods. Signal Process. 137: 22-32 (2017) - [j45]Osman Fatih Kiliç, Muhammed O. Sayin, Ibrahim Delibalta, Suleyman Serdar Kozat:
Computationally highly efficient mixture of adaptive filters. Signal Image Video Process. 11(2): 235-242 (2017) - [j44]Mohammadreza Mohaghegh Neyshabouri, Oguzhan Demir, Ibrahim Delibalta, Suleyman Serdar Kozat:
Highly efficient nonlinear regression for big data with lexicographical splitting. Signal Image Video Process. 11(3): 391-398 (2017) - [j43]Burak C. Civek, Suleyman Serdar Kozat:
Efficient Implementation of Newton-Raphson Methods for Sequential Data Prediction. IEEE Trans. Knowl. Data Eng. 29(12): 2786-2791 (2017) - [j42]Nuri Denizcan Vanli, Muhammed O. Sayin, Ibrahim Delibalta, Suleyman Serdar Kozat:
Sequential Nonlinear Learning for Distributed Multiagent Systems via Extreme Learning Machines. IEEE Trans. Neural Networks Learn. Syst. 28(3): 546-558 (2017) - [j41]Muhammed O. Sayin, N. Denizcan Vanli, Suleyman Serdar Kozat, Tamer Basar:
Stochastic Subgradient Algorithms for Strongly Convex Optimization Over Distributed Networks. IEEE Trans. Netw. Sci. Eng. 4(4): 248-260 (2017) - [c69]Tolga Ergen, Kaan Gökcesu, Mustafa Simsek, Suleyman Serdar Kozat:
Novelty detection using soft partitioning and hierarchical models. SIU 2017: 1-4 - [c68]Tolga Ergen, Suleyman Serdar Kozat:
Neural networks based online learning. SIU 2017: 1-4 - [c67]Tolga Ergen, Suleyman Serdar Kozat:
Online distributed nonlinear regression via neural networks. SIU 2017: 1-4 - [c66]Kaan Gökcesu, Tolga Ergen, Selami Çiftçi, Suleyman Serdar Kozat:
An efficient bandit algorithm for general weight assignments. SIU 2017: 1-4 - [c65]Farhan Khan, Suleyman Serdar Kozat:
Sequential churn prediction and analysis of cellular network users - A multi-class, multi-label perspective. SIU 2017: 1-4 - [i28]Burak C. Civek, Ibrahim Delibalta, Suleyman Serdar Kozat:
Highly Efficient Hierarchical Online Nonlinear Regression Using Second Order Methods. CoRR abs/1701.05053 (2017) - [i27]Burak C. Civek, Suleyman Serdar Kozat:
Efficient Implementation Of Newton-Raphson Methods For Sequential Data Prediction. CoRR abs/1701.05378 (2017) - [i26]Tolga Ergen, Ali Hassan Mirza, Suleyman Serdar Kozat:
Unsupervised and Semi-supervised Anomaly Detection with LSTM Neural Networks. CoRR abs/1710.09207 (2017) - 2016
- [j40]N. Denizcan Vanli, Sait Tunç, Mehmet A. Donmez, Suleyman Serdar Kozat:
Growth optimal investment in discrete-time markets with proportional transaction costs. Digit. Signal Process. 48: 226-238 (2016) - [j39]Ibrahim Delibalta, Kaan Gökcesu, Mustafa Simsek, Lemi Baruh, Suleyman Serdar Kozat:
Online Anomaly Detection With Nested Trees. IEEE Signal Process. Lett. 23(12): 1867-1871 (2016) - [j38]Farhan Khan, Dariush Kari, Ilyas Alper Karatepe, Suleyman Serdar Kozat:
Universal Nonlinear Regression on High Dimensional Data Using Adaptive Hierarchical Trees. IEEE Trans. Big Data 2(2): 175-188 (2016) - [j37]Huseyin Ozkan, Fatih Ozkan, Suleyman Serdar Kozat:
Online Anomaly Detection Under Markov Statistics With Controllable Type-I Error. IEEE Trans. Signal Process. 64(6): 1435-1445 (2016) - [j36]Huseyin Ozkan, N. Denizcan Vanli, Suleyman Serdar Kozat:
Online Classification via Self-Organizing Space Partitioning. IEEE Trans. Signal Process. 64(15): 3895-3908 (2016) - [j35]N. Denizcan Vanli, Kaan Gökcesu, Muhammed O. Sayin, Hikmet Yildiz, Suleyman Serdar Kozat:
Sequential Prediction Over Hierarchical Structures. IEEE Trans. Signal Process. 64(23): 6284-6298 (2016) - [c64]Ihsan Utlu, Suleyman Serdar Kozat:
Distributed adaptive filtering with reduced communication load. EUSIPCO 2016: 1488-1492 - [c63]Dariush Kari, Iman Marivani, Ibrahim Delibalta, Suleyman Serdar Kozat:
Boosted LMS-based piecewise linear adaptive filters. EUSIPCO 2016: 1593-1597 - [c62]Farhan Khan, Ibrahim Delibalta, Suleyman Serdar Kozat:
Online churn detection on high dimensional cellular data using adaptive hierarchical trees. EUSIPCO 2016: 2275-2279 - [c61]Osman Fatih Kiliç, N. Denizcan Vanli, Huseyin Ozkan, Ibrahim Delibalta, Suleyman Serdar Kozat:
Adaptive hierarchical space partitioning for online classification. EUSIPCO 2016: 2290-2294 - [c60]Burak C. Civek, Ibrahim Delibalta, Suleyman Serdar Kozat:
Piecewise linear regression based on adaptive tree structure using second order methods. EUSIPCO 2016: 2445-2449 - [c59]Burak C. Civek, Ibrahim Delibalta, Suleyman Serdar Kozat:
Nonlinear regression using second order methods. SIU 2016: 1085-1088 - [c58]Burak C. Civek, Dariush Kari, Ibrahim Delibalta, Suleyman Serdar Kozat:
Big data signal processing using boosted RLS algorithm. SIU 2016: 1089-1092 - [c57]Mustafa Simsek, Ibrahim Delibalta, Lemi Baruh, Suleyman Serdar Kozat:
Mathematical model of causal inference in Social Networks. SIU 2016: 1165-1168 - [c56]Osman Fatih Kiliç, Muhammed Omer Sayin, Ibrahim Delibalta, Suleyman Serdar Kozat:
Mixture of set membership filters approach for big data signal processing. SIU 2016: 1217-1220 - [c55]Oguzhan Demir, Mohammadreza Mohaghegh Neyshabouri, Ibrahim Delibalta, Suleyman Serdar Kozat:
A tree-based solution to nonlinear regression problem. SIU 2016: 1233-1236 - [c54]Osman Fatih Kiliç, N. Denizcan Vanli, Huseyin Ozkan, Ibrahim Delibalta, Suleyman Serdar Kozat:
Online adaptive hierarchical space partitioning classifier. SIU 2016: 1237-1240 - [c53]Ersin Yar, Ibrahim Delibalta, Lemi Baruh, Suleyman Serdar Kozat:
Online text classification for real life tweet analysis. SIU 2016: 1609-1612 - [c52]Ihsan Utlu, Suleyman Serdar Kozat:
Communication efficient distributed estimation. SIU 2016: 1677-1680 - [i25]Dariush Kari, Ibrahim Delibalta, Suleyman Serdar Kozat:
Boosted Adaptive Filters. CoRR abs/1601.00549 (2016) - [i24]Dariush Kari, Nuri Denizcan Vanli, Suleyman Serdar Kozat:
Adaptive and Efficient Nonlinear Channel Equalization for Underwater Acoustic Communication. CoRR abs/1601.01218 (2016) - [i23]Muhammed O. Sayin, Suleyman Serdar Kozat:
Network structures and fast distributed MMSE estimation. CoRR abs/1610.00681 (2016) - [i22]Mohammadreza Mohaghegh Neyshabouri, Kaan Gökcesu, Selami Ciftci, Suleyman Serdar Kozat:
A Nearly Optimal Contextual Bandit Algorithm. CoRR abs/1612.01367 (2016) - 2015
- [j34]N. Denizcan Vanli, Mehmet A. Donmez, Suleyman Serdar Kozat:
Robust least squares methods under bounded data uncertainties. Digit. Signal Process. 36: 82-92 (2015) - [j33]Muhammed O. Sayin, Yasin Yilmaz, Alper Demir, Suleyman Serdar Kozat:
The Krylov-proportionate normalized least mean fourth approach: Formulation and performance analysis. Signal Process. 109: 1-13 (2015) - [j32]Nuri Denizcan Vanli, Suleyman Serdar Kozat:
A Unified Approach to Universal Prediction: Generalized Upper and Lower Bounds. IEEE Trans. Neural Networks Learn. Syst. 26(3): 646-651 (2015) - [j31]Huseyin Ozkan, Mehmet A. Donmez, Sait Tunç, Suleyman Serdar Kozat:
A Deterministic Analysis of an Online Convex Mixture of Experts Algorithm. IEEE Trans. Neural Networks Learn. Syst. 26(7): 1575-1580 (2015) - [j30]Huseyin Ozkan, Ozgun Soner Pelvan, Suleyman Serdar Kozat:
Data Imputation Through the Identification of Local Anomalies. IEEE Trans. Neural Networks Learn. Syst. 26(10): 2381-2395 (2015) - [c51]N. Denizcan Vanli, Muhammed O. Sayin, Ibrahim Delibalta, Suleyman Serdar Kozat:
A Scalable Approach for Online Hierarchical Big Data Mining. BigData Congress 2015: 1-8 - [c50]Muhammed O. Sayin, N. Denizcan Vanli, Ibrahim Delibalta, Suleyman Serdar Kozat:
Optimal and Efficient Distributed Online Learning for Big Data. BigData Congress 2015: 126-133 - [c49]N. Denizcan Vanli, Huseyin Ozkan, Ibrahim Delibalta, Suleyman Serdar Kozat:
Online Nonlinear Classification for High-Dimensional Data. BigData Congress 2015: 685-688 - [c48]N. Denizcan Vanli, Muhammed O. Sayin, Tolga Goze, Suleyman Serdar Kozat:
Twice-universal piecewise linear regression via infinite depth context trees. ICASSP 2015: 2051-2055 - [c47]Farhan Khan, Ibrahim Delibalta, Suleyman Serdar Kozat:
High dimensional sequential regression on manifolds using adaptive hierarchical trees. MLSP 2015: 1-6 - [c46]Huseyin Ozkan, Fatih Ozkan, Ibrahim Delibalta, Suleyman Serdar Kozat:
Online anomaly detection with constant false alarm rate. MLSP 2015: 1-6 - [c45]Muhammed O. Sayin, N. Denizcan Vanli, Ibrahim Delibalta, Suleyman Serdar Kozat:
Efficient and distributed tracking of evolving state. MLSP 2015: 1-6 - [c44]N. Denizcan Vanli, Muhammed O. Sayin, Ibrahim Delibalta, Suleyman Serdar Kozat:
Universal online prediction via order preserving patterns. MLSP 2015: 1-6 - [e1]Deniz Erdogmus, Murat Akçakaya, Suleyman Serdar Kozat, Jan Larsen:
25th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2015, Boston, MA, USA, September 17-20, 2015. IEEE 2015, ISBN 978-1-4673-7454-5 [contents] - [i21]Dariush Kari, Muhammed Omer Sayin, Suleyman Serdar Kozat:
A new robust adaptive algorithm for underwater acoustic channel equalization. CoRR abs/1512.06222 (2015) - 2014
- [j29]Kyeongyeon Kim, Jun Won Choi, Suleyman Serdar Kozat, Andrew C. Singer:
Low Complexity Turbo-Equalization: A Clustering Approach. IEEE Commun. Lett. 18(6): 1063-1066 (2014) - [j28]Huseyin Ozkan, Arda Akman, Suleyman Serdar Kozat:
A novel and robust parameter training approach for HMMs under noisy and partial access to states. Signal Process. 94: 490-497 (2014) - [j27]Muhammed O. Sayin, N. Denizcan Vanli, Suleyman Serdar Kozat:
A Novel Family of Adaptive Filtering Algorithms Based on the Logarithmic Cost. IEEE Trans. Signal Process. 62(17): 4411-4424 (2014) - [j26]Muhammed O. Sayin, Suleyman Serdar Kozat:
Compressive Diffusion Strategies Over Distributed Networks for Reduced Communication Load. IEEE Trans. Signal Process. 62(20): 5308-5323 (2014) - [j25]N. Denizcan Vanli, Suleyman Serdar Kozat:
A Comprehensive Approach to Universal Piecewise Nonlinear Regression Based on Trees. IEEE Trans. Signal Process. 62(20): 5471-5486 (2014) - [c43]N. Denizcan Vanli, Muhammed O. Sayin, Salih Ergüt, Suleyman Serdar Kozat:
Piecewise nonlinear regression via decision adaptive trees. EUSIPCO 2014: 1188-1192 - [c42]N. Denizcan Vanli, Muhammed O. Sayin, Salih Ergüt, Suleyman Serdar Kozat:
Comprehensive lower bounds on sequential prediction. EUSIPCO 2014: 1193-1196 - [c41]Muhammed O. Sayin, N. Denizcan Vanli, Tolga Goze, Suleyman Serdar Kozat:
Communication efficient channel estimation over distributed networks. GlobalSIP 2014: 138-142 - [c40]N. Denizcan Vanli, Muhammed O. Sayin, Hikmet Yildiz, Tolga Goze, Suleyman Serdar Kozat:
Energy consumption forecasting via order preserving pattern matching. GlobalSIP 2014: 238-242 - [c39]Muhammed O. Sayin, Nuri Denizcan Vanli, Suleyman Serdar Kozat:
Improved convergence performance of adaptive algorithms through logarithmic cost. ICASSP 2014: 4513-4517 - [c38]Nuri Denizcan Vanli, Suleyman Serdar Kozat, Mehmet A. Donmez:
Robust regularized least squares estimation in the presence of bounded data uncertainties. ICASSP 2014: 5637-5640 - [c37]Muhammed O. Sayin, N. Denizcan Vanli, Suleyman Serdar Kozat:
Logarithmic regret bound over diffusion based distributed estimation. ICASSP 2014: 8287-8291 - [c36]Muhammed O. Sayin, N. Denizcan Vanli, Suleyman Serdar Kozat:
Robust set-membership filtering algorithms against impulsive noise. SIU 2014: 1551-1554 - [c35]Muhammed O. Sayin, Suleyman Serdar Kozat:
Performance analysis of scalar diffusion strategy over distributed network. SIU 2014: 1567-1570 - [c34]